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Massimo Rundo and Giorgio Altare
ASME 2017 Fluids Engineering Division Summer Meeting
Waikoloa, Hawai‘i, August 2, 2017
LUMPED PARAMETER AND THREE-DIMENSIONAL
CFD SIMULATION OF A VARIABLE DISPLACEMENT
VANE PUMP FOR ENGINE LUBRICATION
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Summary
• Component description
• Experimental facility
• Lumped parameter model (LMS Amesim®)
• FEM model of the cover (ANSYS®)
• CFD model (Simerics PumpLinx®)
• Analysis of the results
2 / 17
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Lubricating vane pump
Hydraulic scheme
of the displacement control
(absolute pressure limiter)
3 / 17
B
A
valve
B
A
valve
p < p* max displacement
p = p* variable displacement
p
p*
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Layout of the test rig
Config. 1: steady-state tests
Config. 2: measurement of pressure ripple
Interface plate
4 / 17
Oil SAE 5W30
throttle
valve
flowmeter
electric
motor
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
0D model – Governing equations
dp dV
Q
dt V d



 
  
 

volume
flow rate angular
volume
derivative
oil bulk modulus
• pressure in each control volume:
• flow rates through port plate (turbulent):
shaft speed
2
d
p
Q C A



• leakage flows (laminar):
density
pressure
drop
flow area
discharge
coefficient
3
12
bh
Q p
L
 
viscosity length
width
clearance
5 / 17
To oil sump
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Chamber volume
chamber volume
rotor
stator
Eccentricity (e)
Volume and its derivative vs. shaft angle and eccentricity
Volume derivative: analytic evaluation
as function of vector ray lengths ρ and phases ψ
Chamber volume: numerical calculation of
the area ABCDEF enclosed by the chamber
contour and interpolation of look-up table
at max eccentricity
6 / 17
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Chamber flow area
Port plate contour Chamber contour
Minimum
volume
Max
volume
Numerical evaluation of the flow area
• Input: polylines – X,Y tables
• Numerical procedure for common area
• Interpolation of look-up tables
at max eccentricity
7 / 17
1) Discretization of common area
2) Count of “pixels” in common
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Critical issues
Stator
Rotor
Cover
Inlet
volume
Chamber
2
d
p
Q C A


• Evaluation of Cd for flow area inlet – chamber
(critical in defective filling conditions – high speed)
• Evaluation of real clearance due to cover deformation
(critical at high temperature)
External leakage Delivery
volume
3
12
b h
Q p
L
 
8 / 17
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
FEM model of the cover
Boundary condition: delivery pressure detail
Cover: 8x105 nodes
Entire model: 1.2x106 nodes
Shell-type cells
Grid sensitivity
analysis (cover)
9 / 17
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Correction of the axial clearance
casing
cover
rotorchamber
delivery volume (p)
nominal
clearance
additional
clearance
shaft housing
Total clearance = nominal + k * p
k = equivalent stiffness (m/Pa) Evaluated from the displacement of the monitoring points
Monitoring points
10 / 17
R
R
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
CFD model (PumpLinx)
• Imported CAD surfaces in STL format
• Fixed volumes: unstructured body-fitted Cartesian grid
• Variable chamber and leakages: structured hexahedral grid
• About 800 000 cells for mesh independent results
Use: Tuning of mean values of
discharge coefficients
11 / 17
Ducts in the
interface
plate
(config. 2)
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Lumped parameter model
1
1. Variable chambers
22
2. Variable flow areas
3 3
3. Leakages
4
4. Stator dynamics
5
5. Volume evaluation
6
6. Areas evaluation
7
7. Parameters
IN
OUT
VALVE
R
8
8. Cover deformation
9
9. Delivery line
12 / 17
B
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Steady-state flow-pressure curves
Intervention displacement control Oil temperature: 120 °C
Progressive reduction
of flow area of the load valve
Theoretical flow rate
 
3
12
leak
b h k p
Q p
L
 

Non-linear flow-pressure characteristic
due to the variable clearance
(deformation of the cover)
13 / 17
0D model with coefficients tuned on FEM and CFD
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Steady-state flow-speed curves
• Oil temperature: 40 °C
• Delivery pressure: 2 bar
• 3 displacements
(stator mechanically blocked)
100% - 76% - 53%
CFD tuning (on experimental):
total air volume fraction 6%
Incomplete chambers filling 0D tuning (on CFD):
discharge coefficients inlet side
(same flow rate at max speed)
14 / 17
A tuning only at max speed is enough
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Steady-state pressure-speed curve
Simulation of a real operating condition
Intervention
displacement
control
0D model tuning on CFD:
discharge coefficients
of the restrictors
T = 100 °C
Delivery volume
To tank
Fixed orifice
(simulates lubricating
circuit resistance)
15 / 17
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Pressure ripple
• Load: fixed orifice
• Temperature: 40 °C
9 vanes  angular pitch = 360°/9 = 40°
Partial displacement
Maximum displacement
Delivery line:
three-element distributed
parameter pipe
(resistive, capacitive
and inertia effects)
16 / 17
Politecnico di Torino
Dipartimento Energia
Fluid Power Research Laboratory
http://www.fprl.polito.it
Conclusions
Validated 0D and 3D models of a vane pump have been presented
• Integrated approach: a few focused simulations with high-time consuming
codes for tuning the 0D model (determination of critical coefficients)
• FEM model used for determining an equivalent stiffness of the cover
(improvement of the external leakages)
• CFD model used for tuning discharge coefficients
(only the operating condition at maximum speed can be simulated)
• Advantage of 0D tuned model: integration in a more complex model for
system-level studies
17 / 17
Fluid Power Research Laboratory
www.fprl.polito.it
Politecnico di Torino

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Lumped Parameter and Three-Dimensional CFD Simulation of a Variable Displacement Vane Pump for Engine Lubrication

  • 1. Massimo Rundo and Giorgio Altare ASME 2017 Fluids Engineering Division Summer Meeting Waikoloa, Hawai‘i, August 2, 2017 LUMPED PARAMETER AND THREE-DIMENSIONAL CFD SIMULATION OF A VARIABLE DISPLACEMENT VANE PUMP FOR ENGINE LUBRICATION
  • 2. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Summary • Component description • Experimental facility • Lumped parameter model (LMS Amesim®) • FEM model of the cover (ANSYS®) • CFD model (Simerics PumpLinx®) • Analysis of the results 2 / 17
  • 3. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Lubricating vane pump Hydraulic scheme of the displacement control (absolute pressure limiter) 3 / 17 B A valve B A valve p < p* max displacement p = p* variable displacement p p*
  • 4. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Layout of the test rig Config. 1: steady-state tests Config. 2: measurement of pressure ripple Interface plate 4 / 17 Oil SAE 5W30 throttle valve flowmeter electric motor
  • 5. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it 0D model – Governing equations dp dV Q dt V d            volume flow rate angular volume derivative oil bulk modulus • pressure in each control volume: • flow rates through port plate (turbulent): shaft speed 2 d p Q C A    • leakage flows (laminar): density pressure drop flow area discharge coefficient 3 12 bh Q p L   viscosity length width clearance 5 / 17 To oil sump
  • 6. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Chamber volume chamber volume rotor stator Eccentricity (e) Volume and its derivative vs. shaft angle and eccentricity Volume derivative: analytic evaluation as function of vector ray lengths ρ and phases ψ Chamber volume: numerical calculation of the area ABCDEF enclosed by the chamber contour and interpolation of look-up table at max eccentricity 6 / 17
  • 7. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Chamber flow area Port plate contour Chamber contour Minimum volume Max volume Numerical evaluation of the flow area • Input: polylines – X,Y tables • Numerical procedure for common area • Interpolation of look-up tables at max eccentricity 7 / 17 1) Discretization of common area 2) Count of “pixels” in common
  • 8. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Critical issues Stator Rotor Cover Inlet volume Chamber 2 d p Q C A   • Evaluation of Cd for flow area inlet – chamber (critical in defective filling conditions – high speed) • Evaluation of real clearance due to cover deformation (critical at high temperature) External leakage Delivery volume 3 12 b h Q p L   8 / 17
  • 9. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it FEM model of the cover Boundary condition: delivery pressure detail Cover: 8x105 nodes Entire model: 1.2x106 nodes Shell-type cells Grid sensitivity analysis (cover) 9 / 17
  • 10. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Correction of the axial clearance casing cover rotorchamber delivery volume (p) nominal clearance additional clearance shaft housing Total clearance = nominal + k * p k = equivalent stiffness (m/Pa) Evaluated from the displacement of the monitoring points Monitoring points 10 / 17 R R
  • 11. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it CFD model (PumpLinx) • Imported CAD surfaces in STL format • Fixed volumes: unstructured body-fitted Cartesian grid • Variable chamber and leakages: structured hexahedral grid • About 800 000 cells for mesh independent results Use: Tuning of mean values of discharge coefficients 11 / 17 Ducts in the interface plate (config. 2)
  • 12. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Lumped parameter model 1 1. Variable chambers 22 2. Variable flow areas 3 3 3. Leakages 4 4. Stator dynamics 5 5. Volume evaluation 6 6. Areas evaluation 7 7. Parameters IN OUT VALVE R 8 8. Cover deformation 9 9. Delivery line 12 / 17 B
  • 13. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Steady-state flow-pressure curves Intervention displacement control Oil temperature: 120 °C Progressive reduction of flow area of the load valve Theoretical flow rate   3 12 leak b h k p Q p L    Non-linear flow-pressure characteristic due to the variable clearance (deformation of the cover) 13 / 17 0D model with coefficients tuned on FEM and CFD
  • 14. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Steady-state flow-speed curves • Oil temperature: 40 °C • Delivery pressure: 2 bar • 3 displacements (stator mechanically blocked) 100% - 76% - 53% CFD tuning (on experimental): total air volume fraction 6% Incomplete chambers filling 0D tuning (on CFD): discharge coefficients inlet side (same flow rate at max speed) 14 / 17 A tuning only at max speed is enough
  • 15. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Steady-state pressure-speed curve Simulation of a real operating condition Intervention displacement control 0D model tuning on CFD: discharge coefficients of the restrictors T = 100 °C Delivery volume To tank Fixed orifice (simulates lubricating circuit resistance) 15 / 17
  • 16. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Pressure ripple • Load: fixed orifice • Temperature: 40 °C 9 vanes  angular pitch = 360°/9 = 40° Partial displacement Maximum displacement Delivery line: three-element distributed parameter pipe (resistive, capacitive and inertia effects) 16 / 17
  • 17. Politecnico di Torino Dipartimento Energia Fluid Power Research Laboratory http://www.fprl.polito.it Conclusions Validated 0D and 3D models of a vane pump have been presented • Integrated approach: a few focused simulations with high-time consuming codes for tuning the 0D model (determination of critical coefficients) • FEM model used for determining an equivalent stiffness of the cover (improvement of the external leakages) • CFD model used for tuning discharge coefficients (only the operating condition at maximum speed can be simulated) • Advantage of 0D tuned model: integration in a more complex model for system-level studies 17 / 17
  • 18. Fluid Power Research Laboratory www.fprl.polito.it Politecnico di Torino